基于真实车载移动数据的RSU部署算法

Realistic Vehicular Mobility Trace Driven RSU Deployment Scheme

为了有效提高网络性能,基于车载移动数据研究了真实城市环境下的路边单元(RSU)部署问题,收集并记录了基于北京市的车载移动数据集,通过差值方法等对车辆轨迹数据进行了预处理,使得该数据成为研究RSU部署策略的重要支持.基于真实的移动数据,提出了综合考虑中心性和均匀性的RSU部署算法,以优化网络整体性能.以真实车载移动轨迹为基础的仿真实验结果表明,所提出的RSU部署算法可以有效提升网络性能.

Vehicular Ad hoc networks（ VANETs） have been attracted attentions to the research area for solving the increasingly serious problem of traffic congestion as well as the improving road safety. Besides vehicles with communication capabilities,VANETs also include infrastructure such as roadside units（ RSU） which serves as access points. RSU plays animportant role invehicle-to-infrastructurecommunication. The deployment strategies of RSU are critical and should be carefully studied in VANETs. In order to effectively enhance the network performance,the RSU deployment problem was studied under the realistic vehicular mobility traces. A large scale urban vehicular mobility traces in Beijing has been collected,and the method of interpolation has been used to preprocess the traffic traces collected in Beijing; a new RSU deploymentalgorithm that considering both the centricity and uniformity was proposed to deploy RSU in VANETs to optimize the total performance of the network. Realistic vehicular mobility trace-driven simulation experiments show that the new algorithm caneffectively enhance the network performance.